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Code for paper on using functional data analysis techniques to analyze wearable data.
Jupyter Notebook
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102 contributions in the last year
Contribution activity
July 2020
- added recipe example
- Add MIT license
- Update README.md
- Update README.md
- Update priming.md
- added priming docs
- turned api into package, changed import pattern in example
- removed CORS dependency
- added example of interactive priming
- Buyumaz/change api config name
- moved api logic into GPT class
- changed environment variable and key name
- added config options to GPT class
- Added UI config to make it easy to change placeholders
- refactored back end to isolate app code and logic
- add Flask backend
- Add functionality to prime GPT from the UI.
- JS Prettify and Few Small Fixes
- Adding yarn dependency
- Adding first documentation steps.
- Pylint
- Making examples directory and renaming app name.
- Adding some examples. Misc changes.
- Documentation and subprocessing.
- Remove extraneous artifacts from CRA
- Remove katex
- Refactor front end.
Created an issue in shreyashankar/gpt3-sandbox that received 2 comments
implement autoreloading of GPT configuration
currently, if you want to see how GPT does with more examples, you need to add examples in the main script and then relaunch the flask back end. Id…
2
comments
- Saving, sharing, and loading of GPT class configuration
- give api folder better name
- add documentation to GPT class
- more streamlined management of secret API key
- add __init__.py to modules so we're not relying on relative imports
- add more query parameters to GPT class
- make UIConfig class to make UI a bit more flexible
- write detailed documentation on how to download, start, and run
- move flask infrastructure code outside of gpt class